An Inductive Approach for Identification of Barriers to PCP Literacy
Chandana Srinivas - University of San Francisco, San Francisco, United States
Elif E. Firat - Cukurova University, Adana, Turkey
Robert S. Laramee - University of Nottingham, Nottingham, United Kingdom
Alark Joshi - University of San Francisco, San Francisco, United States
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Abstract
Parallel coordinate plots (PCPs) are gaining popularity in data exploration, statistical analysis, predictive analysis along with for data-driven storytelling. In this paper, we present the results of a post-hoc analysis of a dataset from a PCP literacy intervention to identify barriers to PCP literacy. We analyzed question responses and inductively identified barriers to PCP literacy. We performed group coding on each individual response and identified new barriers to PCP literacy. Based on our analysis, we present a extended and enhanced list of barriers to PCP literacy. Our findings have implications towards educational interventions targeting PCP literacy and can provide an approach for students to learn about PCPs through active learning.